Cited by 355Mobile Health and mHealth ApplicationsDiabetes Management and EducationInnovative Human-Technology Interaction

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MAHI: investigation of social scaffolding for reflective thinking in diabetes management

Mamykina, Lena, Mynatt, Elizabeth, Davidson, Patricia, Greenblatt, Daniel·2008·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

DOI 10.1145/1357054.1357131

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Abstract

In the recent years, the number of individuals engaged in self-care of chronic diseases has grown exponentially. Advances in computing technologies help individuals with chronic diseases collect unprecedented volumes of health-related data. However, engaging in reflective analysis of the collected data may be challenging for the untrained individuals. We present MAHI, a health monitoring application that assists newly diagnosed individuals with diabetes in acquiring and developing reflective thinking skills through social interaction with diabetes educators. The deployment study with twenty five newly diagnosed individuals with diabetes demonstrated that MAHI significantly contributed to individuals' achievement of their diabetes management goals (changing diet). More importantly, MAHI inspired individuals to adopt Internal Locus of Control, which often leads to persistent engagement in self-care and positive health outcomes.

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Weick, K. E., Sutcliffe, K. M., & Obstfeld, D. (2005) · Organization Science · doi:10.1287/orsc.1050.0133 · Cited by 6,943
Patient Self-management of Chronic Disease in Primary Care
Bodenheimer, T. (2002) · JAMA · doi:10.1001/jama.288.19.2469 · Cited by 3,598 · cited 1×
“One of the diseases that require active engagement of the affected individuals is diabetes [6, 21, 25].”
Background
As We May Think
Bush, V. (1945) · Cited by 2,998
Design-based research: Putting a stake in the ground
Barab, S., & Squire, K. (2004) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1301_1 · Cited by 2,642 · cited 1×
“[3].”
The effects of choice and enhanced personal responsibility for the aged: A field experiment in an institutional setting.
Langer, E. J., & Rodin, J. (1976) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.34.2.191 · Cited by 1,592
Technology probes: inspiring design for and with families
Hutchinson, H., Mackay, W., Westerlund, B., Bederson, B. B., Druin, A., Plaisant, C., Beaudouin-Lafon, M., Conversy, S., Evans, H., Hansen, H., et al. (2003) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/642611.642616 · Cited by 1,471
Charting past, present, and future research in ubiquitous computing
Abowd, G. D., & Mynatt, E. D. (2000) · ACM Transactions on Computer-Human Interaction · doi:10.1145/344949.344988 · Cited by 1,458
Self-citation
Thinking and Deciding
Baron, J. A. (2006) · Cambridge University Press eBooks · doi:10.1017/9781009263672 · Cited by 1,434
Development and validation of the Health Locus of Control (HLC) Scale.
Wallston, B. S., Wallston, K. A., Kaplan, G. D., & Maides, S. A. (1976) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.44.4.580 · Cited by 1,251
Fish’n’Steps: Encouraging Physical Activity with an Interactive Computer Game
Lin, J. J.-W., Mamykina, L., Lindtner, S., Delajoux, G., & Strub, H. B. (2006) · Lecture notes in computer science · doi:10.1007/11853565_16 · Cited by 853
Self-citation

Show all 25 references

Research works printed but not linked: 2

Knorr Cetina , K. , 1999 , Epistemic Cultures , Cambridge, MA : Harvard University Press Knorr Cetina, K., 1999, Epistemic Cultures, Cambridge, MA: Harvard University Press
10.1037/0022-3514.34.2.191 · DOI

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Authors: Mamykina, L., Mynatt, E., Davidson, P., & Greenblatt, D.
Affiliations: Siemens (United States) (US)
Georgia Institute of Technology (US)
St. Clair Hospital, Dover, NJ, USA
Motorola (United States) (US)
ORCID: Mamykina, Lena
Mynatt, Elizabeth
Greenblatt, Daniel
Venue: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher: ACM
Published: 2008-04-06
Pages: 477-486
DOI: 10.1145/1357054.1357131
OpenAlex: W2142477234
Cited by: 355
References: 25
Citations by year: 2026: 5 · 2025: 13 · 2024: 18 · 2023: 21 · 2022: 14 · 2021: 20 · 2020: 15 · 2019: 24 · 2018: 21 · 2017: 32 · 2016: 25 · 2015: 27 · 2014: 22 · 2013: 23 · 2012: 19
FWCI: 107.50
Type: conference paper
Language: en
Open access: closed
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations: CHI Conference on Human Factors in Computing Systems (publishedVersion)
Topics: Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords: diabetes self-management, newly diagnosed diabetes, health monitoring applications, reflective thinking, internal locus of control, dietary change, chronic disease self-management

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MAHI: investigation of social scaffolding for reflective thinking in diabetes management

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